Authors
Laura Duncanson, James R Kellner, John Armston, Ralph Dubayah, David M Minor, Steven Hancock, Sean P Healey, Paul L Patterson, Svetlana Saarela, Suzanne Marselis, Carlos E Silva, Jamis Bruening, Scott J Goetz, Hao Tang, Michelle Hofton, Bryan Blair, Scott Luthcke, Lola Fatoyinbo, Katharine Abernethy, Alfonso Alonso, Hans-Erik Andersen, Paul Aplin, Timothy R Baker, Nicolas Barbier, Jean Francois Bastin, Peter Biber, Pascal Boeckx, Jan Bogaert, Luigi Boschetti, Peter Brehm Boucher, Doreen S Boyd, David FRP Burslem, Sofia Calvo-Rodriguez, Jérôme Chave, Robin L Chazdon, David B Clark, Deborah A Clark, Warren B Cohen, David A Coomes, Piermaria Corona, Katherine C Cushman, Mark EJ Cutler, James W Dalling, Michele Dalponte, Jonathan Dash, Sergio De-Miguel, Songqiu Deng, Peter Woods Ellis, Barend Erasmus, Patrick A Fekety, Alfredo Fernandez-Landa, Antonio Ferraz, Rico Fischer, Adrian G Fisher, Antonio García-Abril, Terje Gobakken, Jorg M Hacker, Marco Heurich, Ross A Hill, Chris Hopkinson, Huabing Huang, Stephen P Hubbell, Andrew T Hudak, Andreas Huth, Benedikt Imbach, Kathryn J Jeffery, Masato Katoh, Elizabeth Kearsley, David Kenfack, Natascha Kljun, Nikolai Knapp, Kamil Král, Martin Krůček, Nicolas Labriere, Simon L Lewis, Marcos Longo, Richard M Lucas, Russell Main, Jose A Manzanera, Rodolfo Vásquez Martínez, Renaud Mathieu, Herve Memiaghe, Victoria Meyer, Abel Monteagudo Mendoza, Alessandra Monerris, Paul Montesano, Felix Morsdorf, Erik Næsset, Laven Naidoo, Reuben Nilus, Michael O’brien, David A Orwig, Konstantinos Papathanassiou, Geoffrey Parker, Christopher Philipson, Oliver L Phillips, Jan Pisek, John R Poulsen, Hans Pretzsch, Christoph Rüdiger, Sassan Saatchi, Arturo Sanchez-Azofeifa, Nuria Sanchez-Lopez, Robert Scholes, Carlos A Silva, Marc Simard, Andrew Skidmore, Krzysztof Stereńczak, Mihai Tanase, Chiara Torresan, Ruben Valbuena, Hans Verbeeck, Tomas Vrska, Konrad Wessels, Joanne C White, Lee JT White, Eliakimu Zahabu, Carlo Zgraggen
Publication date
2022/3/1
Journal
Remote Sensing of Environment
Volume
270
Pages
112845
Publisher
Elsevier
Description
NASA’s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI’s footprint-level (~25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection. The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. We used this database to expand the geographic extent of past waveform lidar studies, and divided the globe into four broad strata by Plant Functional Type (PFT) and six geographic regions. GEDI’s waveform-to-biomass models take the form of …
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Scholar articles
L Duncanson, JR Kellner, J Armston, R Dubayah… - Remote Sensing of Environment, 2022